Results 41 to 50 of about 1,512,342 (361)
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning [PDF]
A compelling use case of offline reinforcement learning (RL) is to obtain a policy initialization from existing datasets followed by fast online fine-tuning with limited interaction.
Mitsuhiko Nakamoto +7 more
semanticscholar +1 more source
Bragg grating tuning techniques for interferometry applications [PDF]
Fiber bragg grating is widely used in optical fiber applications as a filter or a sensor due to its compact size and high sensitivity to physical conditions, such as temperature and strain.
Dionísio, Rogério Pais
core +1 more source
The article addresses the issue of generic competences across different cultural contexts in the world. Using the Tuning projects data collected in Europe, Latin America, Africa and Russia, and focusing on graduates´ perspective, the authors aim to ...
Pablo Beneitone, Edurne Bartolomé
doaj +1 more source
The Good Gain method for simple experimental tuning of PI controllers [PDF]
A novel experimental method -- here denoted the Good Gain method -- fortuning PI controllers is proposed. The method can be regarded as analternative to the famous Ziegler-Nichols' Ultimate Gain method.
F. Haugen
doaj +1 more source
Developing reflection on competence-based learning: the Russian experience with the Tuning approach [PDF]
The paper focuses on the Tuning Russia project. It aims at providing an overview of the impact of the Tuning methodology and outcomes concerning University teaching, learning, and assessment activities.
Anna Serbati +3 more
core +1 more source
Student Workload and Degree Profiles: the experience of CLAR credit in Latin America
There is growing consensus in Latin America on the necessity to reorganize the degree profiles in a competence-based and student-centred system, with identified learning outcomes, innovative learning and teaching strategies, and new methodologies for ...
Francisco Alarcón +5 more
doaj +1 more source
Artificial bee colony based state feedback position controller for PMSM servo-drive – the efficiency analysis [PDF]
This paper presents a state feedback controller (SFC) for position control of PMSM servo-drive. Firstly, a short review of the commonly used swarm-based optimization algorithms for tuning of SFC is presented.
T. Tarczewski +2 more
doaj +1 more source
Visual-RFT: Visual Reinforcement Fine-Tuning [PDF]
Reinforcement Fine-Tuning (RFT) in Large Reasoning Models like OpenAI ol learns from feedback on its answers, which is especially useful in applications when fine-tuning data is scarce.
Ziyu Liu +7 more
semanticscholar +1 more source
Towards Building The Federatedgpt: Federated Instruction Tuning [PDF]
While "instruction-tuned" generative large language models (LLMs) have demonstrated an impressive ability to generalize to new tasks, the training phases heavily rely on large amounts of diverse and high-quality instruction data (such as ChatGPT and GPT ...
Jianyi Zhang +6 more
semanticscholar +1 more source
Selective tuning of Hilbert spaces in states encoded with spatial modes of light
Spatial modes of light directly give the most easily accessible degree of freedom that span an infinite dimensional Hilbert space. The higher dimensional spatial mode entanglement realized using spontaneous parametric down conversion (SPDC) process is ...
Ali Anwar +3 more
doaj +1 more source

